observability.fyi

Checkly vs Datadog Metrics

A detailed comparison of two leading observability platforms.

Ch

Checkly

Monitoring as code for modern DevOps

8.8/10
Da

Datadog Metrics

Cloud-scale metrics monitoring

9.2/10
Overview

Who is each tool for?

Ch

Checkly

DevOps teams wanting programmable synthetic monitoring

Da

Datadog Metrics

Enterprises needing scalable metrics with extensive integrations

Analysis

Pros and Cons

Ch

Checkly

Pros

  • Playwright/Puppeteer native support
  • Monitoring as code approach
  • Excellent CI/CD integration
  • Modern developer experience

Cons

  • Requires coding knowledge
  • Smaller check location network
  • Newer platform, smaller community
Full review
Da

Datadog Metrics

Pros

  • 700+ out-of-box integrations
  • Powerful anomaly detection
  • Excellent visualization options
  • Seamless cloud provider integration

Cons

  • Can become expensive at scale
  • Custom metrics pricing adds up
  • Vendor lock-in concerns
Full review
Ratings

Feature Comparison

Feature
Ch
Checkly
Da
Datadog Metrics
APM
5
7
Log Management
4
6
Infrastructure Monitoring
5
9.5
Alerting
8.5
9
Integrations
9
10
Ease of Use
8
8.5
Support
8
8.5
Value for Money
8.5
7.5
Overall Score
8.8
9.2
Investment

Pricing

Ch

Checkly

Free / Team from $30/mo

Pricing varies by data volume and features. Contact Checkly for a custom quote.

Da

Datadog Metrics

From $15/host/mo

Pricing varies by data volume and features. Contact Datadog Metrics for a custom quote.

Conclusion

Our Verdict

Both Checkly and Datadog Metrics are excellent observability platforms. Datadog Metrics edges ahead with a score of 9.2/10, particularly excelling in APM and Log Management.